Malignant and benign types of tumor infiltrated in human brain are diagnosed with the help
of an MRI scanner. With the slice images obtained using an MRI scanner, certain image …

Image segmentation consists in partitioning an image into different regions. MRI image
segmentation is especially interesting, since an accurate segmentation of the different brain …

Abstract Magnetic Resonance Imaging (MRI) is a medical imaging modality that is
commonly employed for the analysis of different diseases. However, these images come …

Brain tumor diagnosis is a very crucial task. Magnetic resonance imaging (MRI) scan can be
used to produce image of any part of the body and it provides an efficient and fast way for …

Segmentation of medical imagery remains as a challenging task due to complexity of
medical images. This study proposes a method of k-Nearest Neighbor (k-NN) in …

Bovines identification has become widely used as essential for guarantee the safety of cattle
products and assists veterinary disease supervision and control. Texture feature extraction is …

Brain and its structure are extremely complex with deep levels of details. Applying image
processing methods of brain image can be very useful in many practical domains. Magnetic …

Image segmentation plays an important role in medical imaging applications. In this chapter,
an automatic MRI brain image segmentation framework using gravitational search based …

Information systems play a significant role in providing support and assistance to decision-
makers in disaster management. Early warning, remote sensing, maps, information systems …

Gustafson-Kessel algorithm is well known clustering technique which provides better
clusters in comparison to conventional fuzzy c-means clustering of data consisting of …